size.ci.stdmean.ps: Sample size for a paired-samples standardized mean difference...

In statpsych: Statistical Methods for Psychologists

Sample size for a paired-samples standardized mean difference confidence interval

Description

Computes the sample size required to estimate two types of population standardized mean differences (unweighted standardizer and single group standardizer) with desired confidence interval precision in a paired-samples design. For a conservatively large sample size, set the standardized mean difference planning value to the largest value within a plausible range and set the Pearson correlation planning value to the smallest value within a plausible range.

Usage

size.ci.stdmean.ps(alpha, d, cor, w)

Arguments

alpha	alpha level for 1-alpha confidence
d	planning value of standardized mean difference
cor	planning value of correlation between measurements
w	desired confidence interval width

Value

Returns the required sample size for each standardizer

References

\insertRef

Bonett2009statpsych0

Examples

size.ci.stdmean.ps(.05, 1, .65, .6)

# Should return:
#                            Sample Size
# Unweighted standardizer:            46
# Single group standardizer:          52
 

statpsych documentation built on July 9, 2023, 6:50 p.m.